[Prevalence and incidence of documented diabetes based on health claims data-reference analysis for diabetes surveillance in Germany]

The implications of policy modeling assumptions for the projected impact of sugar-sweetened beverage taxation on body weight and type 2 diabetes in Germany

BACKGROUND

Evaluating sugar-sweetened beverage (SSB) taxation often relies on simulation models. We assess how assumptions about the response to SSB taxation affect the projected body weight change and subsequent health and economic impacts related to type 2 diabetes mellitus (T2DM) using Germany as an example.

METHODS

In the main analysis, we estimated changes in energy intake by age and sex under a 20% value-added tax on SSBs in Germany using marginal price elasticities (PE) and applied an energy equilibrium model to predict body weight changes. We then quantified the impact of several assumption modifications: SSB own-PE adjusted for consumption (M1)/based on alternative meta-analysis (M2); SSB consumption adjusted for underreporting (M3); substitution via marginal (M4a) or adjusted (M4b) cross-PE/as % of calorie change (M4c). We also assessed scenarios with alternative tax rates of 10% (S1) or 30% (S2) and including fruit juice (S3). We calculated overweight and obesity rates per modification and scenario. We simulated the impact on T2DM, associated healthcare costs, and disability-adjusted life years (DALYs) over the lifetime of the 2011 German adult population with a Markov model. Data included official demographics, national surveys, and meta-analyses.

RESULTS

A 20% value-added tax in Germany could reduce the number of men and women with obesity by 210,800 [138,800; 294,100] and 80,800 [45,100; 123,300], respectively. Over the population's lifetime, this would lead to modest T2DM-related health and economic impacts (76,700 DALYs [42,500; 120,600] averted; €2.37 billion [1.33; 3.71] costs saved). Policy impacts varied highly across modifications (all in DALYs averted): (M1) 94,800 [51,500; 150,700]; (M2) 164,200 [99,500; 243,500]; (M3) 52,600 [22,500; 91,100]; (M4a) -18,100 [-111,500; 68,300]; (M4b) 25,800 [-31,400; 81,500]; (M4c) 46,700 [25,300; 77,200]. The variability in policy impact related to modifications was similar to the variability between alternative policy scenarios (all in DALYs averted): (S1) 26,400 [9,300; 47,600]; (S2) 126,200 [73,600; 194,500]; (S3) 342,200 [234,200; 430,400].

CONCLUSIONS

Predicted body weight reductions under SSB taxation are sensitive to assumptions by researchers often needed due to data limitations. Because this variability propagates to estimates of health and economic impacts, the resulting structural uncertainty should be considered when using results in decision-making.

[Development and Internal Validation of Case Definitions for Prevalence Estimation of Microvascular Complications of Diabetes in Routine Data]

BACKGROUND

Surveillance of diabetes requires up-to-date information on the prevalence of diabetes and its complications over time. For this purpose, statutory health insurance (SHI) data is being increasingly used, as the data is available in a timely fashion and case numbers enable detailed estimates also of diabetes complications. The aim of the present study was the development and internal validation of case definitions for the prevalence estimation of diabetic retinopathy (DRP), diabetic polyneuropathy (DPN) and diabetic foot syndrome (DFS).

METHODS

Persons with diabetes differentiated by type 1, type 2, and other diabetes in an age- and sex-stratified sample of persons insured by Barmer SHI in 2018 (n=72,744) comprised the study popuation. Based on the central ICD codes for microvascular complications (DRP: H36.0; DPN: G63.2; DFS: E1X.74/.75), case definitions were developed including additional ICD codes for complications without direct diabetes reference. Subsequently, the case definitions were internally validated. For the validation, coding in the inpatient setting (m1S) or repeatedly in the outpatient setting (m2Q) as well as coding of specific procedures (EBM, OPS) and drug prescriptions or by relevant specialists were considered. Additionally, we analysed the documentation of the diagnoses in the previous years.

RESULTS

In 2018, the prevalence of the central ICD codes was 8.4% for DRP (H36.0), 18.9% for DPN (G63.2) and 13.4% for DFS (E1X.74/.75). After inclusion of additional ICD codes in the case definition, prevalence increased significantly for DRP (9.6%) and DPN (20.7%), and barely for DFS (13.5%). Internal validation confirmed the majority of diagnoses (DRP: 96.7%; DPN: 96.5% DFS: 95.8%) and m2Q represented the most relevant criterion. When up to four previous years were considered, prevalences were up to 30% higher for DPN and DFS and up to 64% higher for DRP.

CONCLUSION

The inclusion of additional ICD codes in the case definition of microvascular complications of diabetes appears meaningful, as this increases the sensitivity of the prevalence estimate. Internal validation suggests that the documented diagnoses are plausible. However, not all diagnoses are documented annually, leading to an underestimation of the prevalence using a cross-sectional study design of one year.

Spatial characteristics of non-communicable diseases and their associations to social conditions in a large urban cohort in Germany-Results from the Hamburg City Health Study

BACKGROUND

Non-communicable diseases (NCDs) are responsible for many deaths. They are associated with several modifiable and metabolic risk factors and are therefore prone to significant regional variations on different scales. However, only few intra-urban studies examined spatial variation in NCDs and its association with social circumstances, especially in Germany. Thus, the present study aimed to identify associations of personal risk factors and local social conditions with NCDs in a large German city.

METHODS

This study is based on a population-based cohort of the Hamburg City Health Study including 10,000 probands. Six NCDs were analyzed (chronic obstructive pulmonary disease [COPD], coronary heart disease [CHD], diabetes mellitus, heart failure, depression, and hypertension) in 68 city district clusters. As risk factors, we considered socio-demographic variables (age, sex, education) and risk behaviour variables (smoking, alcohol consumption). Logistic regression analyses identified associations between the district clusters and the prevalence rates for each NCD. Regional variation was detected by Gini coefficients and spatial cluster analyses. Local social condition indexes were correlated with prevalence rates of NCDs on city district level and hot-spot analyses were performed for significant high or low values.

RESULTS

The analyses included 7,308 participants with a mean age of 63.1 years (51.5% female). The prevalence of hypertension (67.6%) was the highest. Risk factor associations were identified between smoking, alcohol consumption and education and the prevalence of NCDs (hypertension, diabetes, and COPD). Significant regional variations were detected and persisted after adjusting for personal risk factors. Correlations for prevalence rates with the local social conditions were significant for hypertension (r = 0.294, p < 0.02), diabetes (r = 0.259, p = 0.03), and COPD (r = 0.360, p < 0.01).

CONCLUSIONS

The study shows that regional differences in NCD prevalence persist even after adjusting for personal risk factors. This highlights the central role of both personal socio-economic status and behaviors such as alcohol and tobacco consumption. It also highlights the importance of other potential regional factors (e.g. the environment) in shaping NCD prevalence. This knowledge helps policy- and decision-makers to develop intervention strategies.

The Lack of a Standardized Definition of Chronic Dialysis Treatment in German Statutory Health Insurance Claims Data

BACKGROUND

Chronic kidney failure (CKF) is often treated with dialysis, which is invasive and costly and carries major medical risks. The existing studies of patients with CKF requiring dialysis that are based on claims data from German statutory health insurance (SHI) carriers employ varying definitions of this entity, with unclear consequences for the resulting statistical estimates.

METHODS

We carried out a cohort study on four random samples, each consisting of 62 200 persons aged 70 or above, from among the insurees of the SHI AOK Nordost, with one sample for each of the years 2012, 2014, 2016, and 2018. The prevalence, incidence, mortality, and direct health care costs of CKF requiring dialysis were estimated and compared on the basis of four different definitions from literature and a new definition developed by the authors in reference to billing data.

RESULTS

The different definitions led to variation in 12-month prevalences (range: 0.33-0.61%) and 6-month incidences (0.058-0.100%). The percentage of patients with prior acute kidney injury (AKI) ranged from 27.6% to 61.8%. Among incident patients, three-month survival ranged from 70.2% to 88.1%, and six-month survival from 60.5% to 81.3%. In CKF patients without prior AKI, the survival curves differed less across definitions (80.2-91.8% at three months, 70.7-84.4% at six months). The monthly health care costs ranged from €6010 to €9606, with marked variability across definitions in the costs of inpatient and outpatient care.

CONCLUSION

The lack of a standardized definition of CKF requiring dialysis in German SHI claims data leads to variability in the estimated case numbers, mortality, and health care costs. These differences are most probably in part due to the variable inclusion of inpatients who received short-term dialysis after AKI.

[Reference evaluations for estimating prevalence, incidence, and mortality of public health relevant diseases based on routine data]

The routine data of all statutorily insured persons according to the Data Transparency Regulation (DaTraV data) represent a promising data source for the recurrent and timely surveillance of non-communicable diseases (NCDs) in Germany. Thereby, it has become apparent that there is a high demand for reference evaluations that enable quick and regularly repeatable analyses on important NCDs. Against this background, ReFern-01 was initiated, a joint project of the Robert Koch Institute (RKI) and the Federal Institute for Drugs and Medical Devices (BfArM). In collaboration with experts from the field of secondary data analysis and healthcare research, reference evaluations for estimating prevalence, incidence, and mortality for important public health-relevant diseases were developed. First, 11 central NCDs were selected by means of an online survey, and initial case definitions were created in conjunction with a literature review. These were then discussed and agreed upon in a virtual workshop. The created reference evaluations (analysis scripts) allow a standardized estimation of the mentioned epidemiological figures, which are comparable over time and regionally. In addition to providing the results, the scripts will be available at the BfArM for further analysis. Provided that remote access to the analysis of the DaTraV data is available in the future, the results of the ReFern project can strengthen the surveillance of NCDs and support public health actors, for example, in the planning and implementation of health promotion and prevention measures at the federal, state, county, and local levels.

Effectiveness of a Digital Health Application for the Treatment of Diabetes Type II-A Pilot Study

(1) Background: This study aimed at providing preliminary evidence for mebix, an app-based treatment program for patients with diabetes mellitus type II. The main target was to show a positive healthcare impact as defined by improved blood glucose control, i.e., reduced HbA1c values. (2) Methods: For this, a 3-month, prospective, open-label trial with an intraindividual control group was conducted. Participants received the mebix intervention for 3 months. HbA1c values were observed every 3 months: retrospectively, at baseline, and 3 months after the start of using the app. Additionally, weight and patients' reported outcomes (well-being, diabetes-related distress, and self-management) were assessed. Data generated within the app were summarized and analyzed (steps, physical activity, fulfilled tasks, and food logs). (3) Results: After the usage of mebix for 3 months, participants significantly reduced their HbA1c levels (-1.0 ± 0.8%). Moreover, improvements in weight, well-being, and self-management as well as a reduction in diabetes-related distress were observed. App-generated data mainly supported the other main finding, that higher baseline HbA1c values lead to higher reductions. Overall, the study provided preliminary evidence that mebix can help patients improve metabolic and psychological health outcomes.

Diabetic Retinopathy - a Common Disease

Diabetic retinopathy (DR) is one of the most common complications of diabetes mellitus and one of the leading causes of visual impairment in working age individuals in the western world. The treatment of DR depends on its severity, so it is of great importance to detect patients as early as possible, in order to initiate early treatment and preserve vision. Despite currently insufficient screening participation, patients with diabetes already visit ophthalmological practices and clinics above average. Their medical care, including DR diagnostics and treatment has been making up an increasing proportion of ophthalmic activity for years. Since the prevalence of diabetes is increasing dramatically worldwide and a further increase is also predicted for Germany, the challenge for ophthalmologists is likely to grow considerably. As the same time, the diagnostic possibilities for differentiating DR and the therapeutic measures, especially with IVOM therapy, are becoming more and more complex, which increases the time burden in everyday clinical practice. The hope to avoid healthcare deficits and to further improve screening rates and visual acuity prognosis in patients with DR is based, among other things, on camera-assisted screening supported by artificial intelligence. Better diabetes management to reduce the prevalence of DR, as well as longer-acting drugs to treat DR, could also improve the care and help reduce the burden on ophthalmology practices.

Future number of people with diagnosed type 1 diabetes in Germany until 2040: an analysis based on claims data

INTRODUCTION

We aim to project the number of people with diagnosed type 1 diabetes in Germany between 2010 and 2040.

RESEARCH DESIGN AND METHODS

We first estimate the age-specific and sex-specific incidence and prevalence of type 1 diabetes in Germany in 2010 using data from 65 million insurees of the German statutory health insurance. Then, we use the illness-death model to project the prevalence of type 1 diabetes until 2040. We alter the incidence and mortality underlying the illness-death model in several scenarios to explore the impact of possible temporal trends on the number of people with type 1 diabetes.

RESULTS

Applying the prevalence from 2010 to the official population projections of Germany's Federal Statistical Office yields a total number of 252 000 people with type 1 diabetes in Germany in 2040 (+1% compared with 2010). Incorporating different annual trends of the incidence and mortality in the projection model results in a future number of people with type 1 diabetes between 292 000 (+18%) and 327 000 (+32%).

CONCLUSIONS

For the first time in Germany, we provide estimates for the incidence, prevalence, and number of people with diagnosed type 1 diabetes for the whole German population between 2010 and 2040. The relative increase of the people with type 1 diabetes ranges from 1% to 32% in 2040 compared with 2010. The projected results are mainly influenced by temporal trends in the incidence. Ignoring these trends, that is, applying a constant prevalence to population projections, probably underestimates future chronic disease numbers.

[Algorithm for the Classification of Type 1 and Type 2 Diabetes Mellitus for the Analysis of Routine Data]

BACKGROUND

Diabetes mellitus is a disease of high public health relevance. To estimate the temporal development of prevalence, routine data of statutory health insurances (SHI) are being increasingly used. However, these data are primarily collected for billing purposes and the case definition of specific diseases remains challenging. In this study, we present an algorithm for differentiation of diabetes types analyzing SHI routine data.

METHODS

The basis for the analysis was an age and sex-stratified random sample of persons of the Barmer SHI with a continuous insurance duration from 2010 to 2018 in the magnitude of 1% of the German population. Diabetes was defined in the reporting year 2018, as documentation of (1) a "confirmed" ICD diagnosis E10.- to E14.- in at least two quarters, (2) a "confirmed" ICD diagnosis E10.- to E14.- in one quarter with an additional prescription of an antidiabetic drug (ATC codes A10), or (3) an ICD diagnosis E10.- to E14.- in the inpatient sector, outpatient surgery, or work disability. Individuals were assigned to a diabetes type based on the specific ICD diagnosis E10.- to E14.- and prescribed medications, differentiated by insulin and other antidiabetics. Still unclear or conflicting constellations were assigned on the basis of the persons' age or the frequency and observation of the diagnosis documentation over more than one year. The participation in a disease management program was considered in a sensitivity analysis.

RESULTS

The prevalence of documented diabetes in the Barmer sample was 8.8% in 2018. Applying the algorithm, 98.5% of individuals with diabetes could be classified as having type 1 diabetes (5.5%), type 2 diabetes (92.6%), or another specific form of diabetes (0.43%). Thus, the prevalence was 0.48% for type 1 diabetes and 8.1% for type 2 diabetes in 2018.

CONCLUSION

The vast majority of people with diabetes can be classified by their diabetes type on the basis of just a few characteristics, such as diagnoses, drug prescription, and age. Further studies should assess the external validity by comparing the results with primary data. The algorithm enables the analysis of important epidemiological indicators and the frequency of comorbidities based on routine data differentiated by type 1 and type 2 diabetes, which should be considered in the surveillance of diabetes in the future.

Pregnancy Complications in Women With Pregestational and Gestational Diabetes Mellitus

BACKGROUND

Diabetes mellitus (DM) is a major risk factor for complications of pregnancy. Based on information for all inpatient births in Germany, we assessed the risks for selected pregnancy complications in women with pregestational diabetes mellitus (preDM) or gestational diabetes mellitus (GDM).

METHODS

The underlying data comprised all singleton births contained in the inpatient perinatal medicine quality assurance statistics for the years 2013-2019. The frequencies of premature birth, elevated birth weight (large for gestational age, LGA), cesarean section, transfer of the newborn to the perinatal unit, and stillbirth were stratified by maternal age and diabetes status (preDM, GDM, no DM). Poisson regression was used to calculate the relative risks (RR) with 95% confidence intervals (95% CI) for the whole period and for each individual year in women with preDM or GDM relative to women without DM.

RESULTS

Among the 4 991 275 singleton births included, GDM was documented in 283 210 (5.7%) and preDM in 46 605 (0.93%) cases. GDM was associated with higher RR for premature birth (1.13 [1.12; 1.15]), LGA (1.57 [1.55; 1.58]), cesarean section (1.26 [1.25; 1.27]), and transfer of the newborn (1.54 [1.52; 1.55]). These associations were even stronger in women with preDM: premature birth (2.13 [2.08; 2.18]), LGA (2.72 [2.67; 2.77]), cesarean section (1.62 [1.60; 1.64]), transfer of the newborn (2.61 [2.56; 2.66]). PreDM increased the risk of stillbirth (RR: 2.34 [2.11; 2.59]); GDM was associated with a lower risk (RR: 0.67 [0.62; 0.72]). For women with preDM, the risk of pregnancy complications increased over the study period.

CONCLUSION

GDM and preDM are still associated with elevated risks of pregnancy complications. In the case of preDM, the risks may be attributable to the fact that the hyperglycemia is more severe and is already present before conception. Continuous monitoring should include risk factors in pregnant women and care-relevant aspects.

Kosten-Effektivitäts-Analyse des Optifast 52 Programms bei Patienten mit Adipositas Grad III und Diabetes mellitus Typ 2

Hintergrund Adipositas stellt für eine Vielzahl weiterer Erkrankungen einen wesentlichen Risikofaktor dar, darunter insbesondere Diabetes mellitus Typ 2 (DMT2). DMT2 als Adipositas-assoziierte Folgeerkrankung bedeutet sowohl aus medizinischer als auch ökonomischer Sicht eine hohe Belastung für das deutsche Gesundheitssystem. Ziel therapeutischer Maßnahmen zur Gewichtsreduktion bei Patienten mit DMT2 ist somit immer auch die Verbesserung der diabetischen Stoffwechsellage. Bei Patienten mit Adipositas Grad III (BMI≥40 kg/m2) kann alternativ zu einer metabolischen bariatrischen Operation auch ein strukturiertes, multimodales Therapieprogramm (Optifast 52 Programm) angeboten werden.

Methodik In einer Kosten-Effektivitäts-Analyse sollen die gesundheitsökonomischen Auswirkungen des Optifast 52 Programms im Vergleich zur metabolischen Operation bei adipösen Patienten (BMI 40–50 kg/m2) mit DMT2 als Adipositasassoziierter Begleiterkrankung ermittelt werden. Ziel beider Therapieoptionen ist die Remission des DMT2 aufgrund von Gewichtsreduktion. Mithilfe eines Entscheidungsbaum-Modells wird die Therapie des DMT2 für einen Zeitraum von drei Jahren modelliert. Berücksichtigt werden die direkten medizinischen Kosten aus Perspektive der gesetzlichen Krankenversicherung in Deutschland.

Ergebnisse Die kumulierten Behandlungskosten des DMT2 liegen unter Anwendung des Optifast 52 Programms bei durchschnittlich 9.425,01 Euro für den Gesamtzeitraum von drei Jahren im Vergleich zu 13.727,94 Euro für Patienten mit metabolischer Operation. Unter Berücksichtigung der Effektivität der beiden Therapieoptionen zeigt sich, dass das Optifast 52 Programm mit 11.536,33 Euro im Vergleich zu 14.908,56 Euro für eine metabolische Operation kosteneffektiv ist.

Schlussfolgerung Die Reduktion des Körpergewichts ist bei Patienten mit Adipositas wesentlich für eine erfolgreiche Therapie des DMT2. Die metabolische Operation kann dabei zu deutlichen Gewichtsverlusten führen, ist jedoch aufgrund der vergleichsweise höheren Komplikationsraten und der hohen finanziellen Belastung für das deutsche Gesundheitssystem kritisch zu sehen. Aus gesundheitsökonomischer Sicht stellt das Optifast 52 Programm deswegen eine kosteneffektive Alternative zur metabolischen Operation dar.

[The Economic Evaluation of the GLICEMIA 2.0 Study as an Example of a Complex Intervention]

BACKGROUND

A piggyback approach was used to evaluate the cost-effectiveness of the prevention program delivered at the point of care pharmacy in the GLICEMIA 2.0 study that sought to guide participants in the intervention group to improved glycemic control in type 2 diabetes with sustained incentivization of lifestyle changes, therapeutic compliance, and adherence. The control group received passive medication management and monitoring.

METHODS

Primary endpoint of the GLICEMIA 2.0 study was the stabilization of HbA1c values. For health economic evaluation, incremental differences in output changes were examined, defined as the difference in the distribution of the HbA1c values between both groups over time. Direct program costs and anticipated indirect costs of service utilization were used as cost parameters. A net monetary benefit approach was used to validate cost-effectiveness thresholds via the formation of ICER values.

RESULTS

The intervention group had significantly higher reductions in HbA1c-values. Risk stratification of initial HbA1c showed (short-term) cost effectiveness for initially higher HbA1c values. Due to the limited study period, no long-term differences in medical resource utilization could be assessed.

CONCLUSION

The GLICEMIA program indicates considerable effectiveness potentials, especially for high-risk patients. The study design seems to have assisted the intervention group's adherence in contrast to the control group. Detailed impacts within the complex intervention could not be validated due to restrictions of the study design as a complex intervention. Overall, statements about effect sustainability and further utilization rates progressions are limited due to a lack of follow-up.

Physical Activity Treatment in Adults with Type 2 Diabetes Mellitus per National Treatment Guidelines for Germany: A Telephone-Survey-Based Analysis

Physical activity (PA) is effective in the prevention of type 2 diabetes mellitus (T2DM). According to the German national treatment guidelines for T2DM, PA is recommended at all stages of the treatment process. Adults with T2DM were recruited within the cross-sectional telephone survey 'Disease knowledge and information needs-Diabetes mellitus (2017)'. Self-reported data on socio-demographic characteristics, previous and current T2DM treatment, and PA behavior were collected. Using multivariable logistic regression models, the correlation between PA treatment (referrals and recommendations) and PA was investigated. Overall, 1149 adults diagnosed with T2DM are included in the analysis. Of the participants, 66.7% reported having ever received PA as part of their T2DM treatment with 61% of the participants reporting PA treatment at the time of the initial T2DM diagnosis and 54% at the time of the interview. Women, older participants, and those with a lower educational level were less likely to have ever been treated with PA. Currently being treated with PA as part of the T2DM treatment was associated with higher rates of achieving the World Health Organization's PA recommendations (≥150 min per week) (OR = 1.95, 95% CI: 1.42-2.68), as well as ever being treated with PA (OR = 1.74, 95% CI: 1.20-2.38). The analyses showed that PA treatment plays a role in the treatment process of T2DM, but not all patient subgroups benefit in the same way. Efforts to increase PA treatment as part of T2DM treatment are needed, especially for those who are currently not treated with PA. Further research is needed to better understand the type of PA (e.g., structured or unstructured) undertaken by adults with T2DM to develop tailored PA interventions for adults with T2DM and for those in vulnerable subgroups.

Antidepressant drug use and regional prescribing patterns in Germany: results from a large population-based study

OBJECTIVE

To consider antidepressant prescribing on a population level with a focus on regional prescribing patterns in Germany.

BASIC METHODS

Based on data from about 70 million individuals covered by all statutory health insurance funds in Germany in 2010, the prevalence of antidepressant use (overall, for drug classes and individual drugs) was calculated stratified by age and sex. Regional analyses were performed on a state and also on a district level.

MAIN RESULTS

The study population comprised 68 427 464 (female: 53.0%) persons, of which 5 052 293 (7.4%) were prescribed at least one antidepressant. The most frequently prescribed drug class was tricyclic antidepressants whereas on a substance level citalopram was most commonly used. Antidepressant prescribing was lowest in children and adolescents (0.2%) and most common in persons aged 70 years and older (13.4%). Women more often received antidepressants than men (9.7% vs. 4.8%). Prevalence of antidepressant use varied between 8.7% (Saarland) and 6.3% (Saxony-Anhalt) and was generally highest in the southwestern and lowest in the eastern states. Accordingly, districts with the highest prevalence were located in the southwestern states.

PRINCIPAL CONCLUSIONS

Antidepressant use in Germany varied considerably by age and sex and also on a state and district level.

Health situation of adults in Germany - Results for selected indicators from GEDA 2019/2020-EHIS

In this article, we examine selected health indicators for the adult population aged 18 years and older in Germany (n=22,708) from the German Health Update (GEDA 2019/2020-EHIS) conducted between April 2019 and September 2020. These indicators include those of self-assessed health and depressive symptoms as well as chronic physical diseases and conditions. In young adulthood (18 to 44 years), over 80% of participants report good or very good subjective health. During this phase of life, most chronic diseases and conditions are rare, although allergies are frequent, and bronchial asthma and depressive symptoms are not uncommon. From mid adulthood (45 years and older), there is a gradual increase in the prevalence of chronic diseases such as cardiovascular disease, diabetes, chronic obstructive pulmonary disease and osteoarthritis. Over 60% of older adults (65 years and older) report a chronic disease or long-term health problem, while only half continue to report good or very good subjective health. During this stage of life, allergies and depressive symptoms become less prevalent. For some diseases, there are also differences according to gender and level of education. This article demonstrates the high public health relevance of age-associated chronic physical diseases and health related limitations in everyday life in an ageing society as well as the need to provide care for certain health conditions already in young adulthood.

Cerebrovascular Risk Factors in Possible or Probable Cerebral Amyloid Angiopathy, Modifier or Bystander?

Goal: Cerebral amyloid angiopathy (CAA) is a frequent cause of atypical intracerebral hemorrhage (ICH) in the elderly. Stroke risk factors such as arterial hypertension (AHT), atrial fibrillation (AFib), diabetes mellitus (DM), and renal dysfunction (RD) are increasingly apparent in these patients. In this retrospective study, we analyzed the presence of these stroke risk factors in different initial CAA presentations comprising cerebral microbleeds (CMB), acute ischemic stroke (AIS), cortical superficial hemosiderosis (cSS), or lobar ICH (LICH) and evaluated their influence on the initial clinical presentation of patients with CAA.

Material and Methods: We identified patients with at least possible CAA defined by the modified Boston criteria admitted to the Department of Neurology or Neurosurgery from 2002 to 2018.

Findings: In the overall cohort of 209 patients, we analyzed the correlation between the number of stroke risk factors and the initial clinical presentation of patients with CAA and could show the high multimorbidity of the collective. There are large differences between the subgroups with different initial clinical presentations, e.g., patients with CMB as initial CAA presentation have the highest number of cerebrovascular risk factors and recurrent AIS, whereas AFib is more frequent in the Neurosurgery Department.

Conclusion: There is a distinct overlap between the subgroups of CAA manifestations and stroke risk factors that need to be verified in larger patient collectives. Since these comorbidities are likely to influence the clinical course of CAA, they represent possible targets for secondary prevention until specific treatment for CAA becomes available.

Productivity-adjusted life years lost due to type 2 diabetes in Germany in 2020 and 2040

AIMS/HYPOTHESIS

Type 2 diabetes can lead to reduced productivity during working age. We aimed to estimate productive life years lost associated with type 2 diabetes on the individual and population level in Germany in 2020 and 2040, while accounting for future trends in mortality.

METHODS

Based on a mathematical projection model, we estimated age- and sex-specific productivity losses associated with type 2 diabetes during working age (20-69 years) in Germany in 2020 and 2040. Productivity losses in terms of excess mortality (years of life lost, YLL) and reductions in labour force participation, presenteeism and absenteeism (years of productivity lost, YPL) were summed to calculate productivity-adjusted life years (PALY) lost. Input data for the projection were based on meta-analyses, representative population-based studies and population projections to account for future trends in mortality.

RESULTS

Compared with a person without type 2 diabetes, mean PALY lost per person with type 2 diabetes in 2020 was 2.6 years (95% CI 2.3, 3.0). Of these 2.6 years, 0.4 (95% CI 0.3, 0.4) years were lost due to YLL and 2.3 (95% CI 1.9, 2.6) years were lost due to YPL. Age- and sex-specific results show that younger age groups and women are expected to lose more productive life years than older age groups and men. Population-wide estimates suggest that 4.60 (95% CI 4.58, 4.63) million people with prevalent type 2 diabetes in 2020 are expected to lose 12.06 (95% CI 10.42, 13.76) million PALY (1.62 million years due to YLL and 10.44 million years due to YPL). In 2040, individual-level PALY lost are projected to slightly decrease due to reductions in YLL. In contrast, population-wide PALY lost are projected to increase to 15.39 (95% CI 13.19, 17.64) million due to an increase in the number of people with type 2 diabetes to 5.45 (95% CI 5.41, 5.50) million.

CONCLUSIONS/INTERPRETATION

On the population level, a substantial increase in productivity burden associated with type 2 diabetes was projected for Germany between 2020 and 2040. Efforts to reduce the incidence rate of type 2 diabetes and diabetes-related complications may attenuate this increase.

Diabetes mellitus and comorbidities - A cross-sectional study with control group based on nationwide ambulatory claims data

As a condition, diabetes mellitus is associated with risk factors and diseases such as obesity. At the same time, cardiovascular diseases are a frequent consequence of diabetes. There have yet to be any findings on the Germany-wide prevalence of diabetes and diabetes comorbidities based on statutory health insurance data. This study estimates the documented prevalence of diabetes in 2019 on the basis of all ambulatory physicians' claims data of German statutory health insurance. In addition, the prevalence of obesity, high blood pressure, coronary heart disease, heart failure, stroke and depression is calculated for diabetes and non-diabetes patients, and the prevalence ratio (PR) is determined as a quotient. The approach used was a case-control design, which assigns a control person without diabetes to each diabetes patient who is similar in terms of age, region and sex. In diabetes patients, a PR greater than 1 was observed for all examined diseases across all age groups, thus demonstrating a higher prevalence compared to persons without diabetes. The highest PR across all age groups for women (3.8) and men (3.7) was found for obesity. In a comparison over time, documented prevalence figures of diabetes in Germany stagnate. With the exception of depression, the documented prevalences of comorbidities correspond well with the prevalences found in population-wide examination surveys.

Excess costs of type 2 diabetes and their sociodemographic and clinical determinants: a cross-sectional study using data from the German Health Interview and Examination Survey for Adults (DEGS1)

OBJECTIVES

The objectives of this study were to estimate the direct and indirect excess costs of type 2 diabetes mellitus (T2D) using data representative for the German adult population and to investigate the association of sociodemographic and clinical determinants with these excess costs.

SETTING

We calculated mean annual costs for individuals with T2D and a control group without diabetes, using data on healthcare utilisation and productivity losses from the cross-sectional German Health Interview and Examination Survey for Adults. We adjusted for group differences using entropy balancing and estimated excess costs for total, direct, indirect costs and additional cost categories using generalised linear models. We performed subgroup analyses to investigate the association of sociodemographic (age, sex and education) and clinical determinants (diabetes duration, glycaemic index and complications) with excess costs.

PARTICIPANTS

The final study sample included n=325 individuals with T2D and n=4490 individuals without diabetes in the age between 18 and 79 years.

RESULTS

Total excess costs amounted to €927, of which €719 were attributable to direct and €209 to indirect excess costs. Total costs were significantly increased by 28% for T2D compared with controls. Group differences in direct, outpatient and medication costs were statistically significant. Medication costs were 88% higher for T2D and had the highest share in direct excess costs. With respect to specific determinants, direct excess costs ranged from €203 for 4-10 years diabetes duration to €1405 for diabetes complications. Indirect excess costs ranged from €-544 for >10 years diabetes duration to €995 for high education.

CONCLUSIONS

T2D was associated with high costs, mainly due to direct costs. As pointed out by our results, diabetes complications and comorbidities have a large impact on the costs, leaving medication costs as main contributor of T2D excess costs.

[Estimating prevalent microvascular complications of diabetes mellitus in Germany. Analysis of statutory health insurance data in 2012 and 2013]

BACKGROUND

Data sources for the systematic and ongoing analysis of prevalence of microvascular complications of diabetes mellitus are limited in Germany. For the first time, we estimated the complications prevalence based on claims data of all statutory health insurance (SHI) providers according to the Data Transparency Act.

METHODS

Health claims data of the reporting years 2012 and 2013 were analyzed. The reference population was identified as insured persons with a diabetes diagnosis according to the international classification of disease. Diabetes was defined as documentation of at least two confirmed diabetes diagnoses in an outpatient setting or one diagnosis in an inpatient setting (ICD codes E10-E14). Complications were defined based on the following ICD codes: nephropathy (N08.3), retinopathy (H36.0), polyneuropathy (G63.2), diabetic foot syndrome (DFS; E10-14.74, E10-14.75), chronic kidney disease (N18.-), and treatment with dialysis (Z49.1, Z49.2, Z99.2). Results were compared to prevalence estimates based on routine data and registries in Germany and abroad.

RESULTS

In 2013, diabetes was documented for 6.6 million persons with SHI (2012: 6.5 million). In 2013, chronic kidney disease (15.0%) was the most frequent complication, followed by diabetic polyneuropathy (13.5%), nephropathy (7.6%), retinopathy (7.0%), DFS (6.1%), and treatment with dialysis (0.56%). While results for diabetic retinopathy, nephropathy, and polyneuropathy are lower than prevalence estimates from other type 2 diabetes studies, they are comparable for chronic kidney disease, treatment with dialysis, and DFS.

CONCLUSION

Continuous analysis of health claims data is highly valuable for the diabetes surveillance. However, detailed analyses are required for verification and harmonization of case definitions and documentation practice.

[Health reporting as part of public health surveillance: the example of diabetes]

The continuous collection and analysis of health data on relevant diseases (surveillance) is at the core of public health. The surveillance enables the implementation of measures to protect the populations' health. Therefore, relevant information needs to be provided in a timely and target-group-specific manner to the respective stakeholders.A dissemination strategy supports the effective communication of results and considers three key questions: (1) "What content is relevant to the surveillance?", (2) "Who requires which information?" and (3) "How are the results disseminated to the target audience?" In this context, digitalisation allows for novel possibilities in the design of publication formats.Since 2015, diabetes surveillance has been established at the Robert Koch Institute. Within a structured process of consensus, we defined four fields of action relevant for health policy including 40 indicators. Thereafter, we developed the first publication formats in collaboration with the scientific advisory board of the project that reflected novel possibilities offered by digitalisation. In addition to articles in scientific journals, the essential formats of the first project phase comprise the report "Diabetes in Germany" and a website including interactive visualisations of results. Additional posts on Twitter and YouTube are used to increase coverage.In addition to the further development of the indicator set, the focus of the next project phase is the advancement of the dissemination towards user- and action-oriented reporting. In close exchange with the scientific advisory board, we aim to explore the requirements of the target audience and reflect them in the design of further publication formats.

[Federal health reporting at the Robert Koch Institute-status quo and current developments]

Health reporting as an integral part of public health plays an important role in the development of strategies and concepts that aim to improve the health of all population groups. This article provides an overview of the definition and tasks of federal health reporting and describes important health reporting components in their current form. The publication format of the Journal of Health Monitoring, which was developed for different user groups of health monitoring, is presented. Examples of the uses and effects of health reporting are also presented. Health reporting is designed as a flexible system: changes in databases as well as forms of communication are taken into account in the further development of health reporting.The further development of health reporting requires close interdisciplinary cooperation between different actors in order to integrate current research results from various scientific disciplines into the processes of health reporting, as well as to further expand the scope and impact of health reporting. In addition, to further develop health reporting on a scientific level, the expansion of participatory elements and a stronger internationalization will be important future tasks.